A Smartphone-based Haptic Vision Substitution system for the blind | IEEE Conference Publication | IEEE Xplore

A Smartphone-based Haptic Vision Substitution system for the blind


Abstract:

Haptic Vision Substitution is a relatively new Human-Machine Interface (HMI) designed to help the blind to `see' through touch. This paper documents the implementation an...Show More

Abstract:

Haptic Vision Substitution is a relatively new Human-Machine Interface (HMI) designed to help the blind to `see' through touch. This paper documents the implementation and design of a Smartphone-based vibrotactile system that uses Catadioptric stereo imaging to increase the spatial awareness of a visually impaired individual. The system computes a disparity map, where distance from an object is inversely proportional to the intensity, using Computer Vision techniques. This information is then compressed and sent to a microcontroller via Bluetooth to be actuated on an 8×8 matrix of shaftless coin vibration motors composing the vibrotactile interface. The interface is built into a wearable vest, where actuation occurs on the upper back region. The upper back was chosen as it is a relatively unused area of the body, providing minimal contraction, and has the somatosensory neuron resolution to accommodate an 8×8 vibrotactile array. This study also includes research on the effectiveness of the haptic transduction and methods of enhancing the tactile sensation to provide a more seamless user experience. It also builds the basis for a programmable tactile interface that would open the doors to a variety of applications for the blind.
Date of Conference: 01-03 April 2011
Date Added to IEEE Xplore: 27 May 2011
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ISSN Information:

Conference Location: Troy, NY, USA
Citations are not available for this document.

I. INTRODUCTION

Vision or visual perception is a complex sensory system of a human organism that interprets light reflected off objects onto the retina of an eye. Special receptor cells in the retina, rods and cones, convert the light intensity and color of the light into electrical signals sent to the brain via the optical nerve. Visually impaired and blind individuals have this process obstructed either physiologically or neurologically. The World Health Organization estimated in May 2009 that about 314 million people are visually impaired worldwide, and 45 million of them are blind. Although 85% can be cured through modem clinical treatment, for the other 15%, hope of a complete awareness of their surroundings lies with modem technology and innovation. They can avoid collisions through the use of a walking stick or a trained dog, but this doesn't give 3D perception. They can also feel textures using their hands, but this is time consuming. The blind tend to use the sense of touch as a substitution for vision so a proper technological solution would use this property to its advantage.

Cites in Papers - |

Cites in Papers - IEEE (4)

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1.
Dehao Han, Shijie Yang, Ping Zhao, Xiaoming Chen, Chen Wang, Vera Chung, "Enhancing Scene Understanding in VR for Visually Impaired Individuals with High-Frame Videos and Event Overlays", 2024 IEEE International Conference on Consumer Electronics (ICCE), pp.1-5, 2024.
2.
Qinghui Zhang, Mingwei Jiang, Chenxia Wan, Weiliang Han, "Research on Tactile Substitution Technology Based on Imitation Eagle Vision", 2018 11th International Symposium on Computational Intelligence and Design (ISCID), vol.01, pp.106-109, 2018.
3.
Harsimran Singh, Bhivraj Suthar, Syed Zain Mehdi, Jee-Hwan Ryu, "Ferro-fluid based portable fingertip haptic display and its preliminary experimental evaluation", 2018 IEEE Haptics Symposium (HAPTICS), pp.14-19, 2018.
4.
B. Andò, S. Baglio, V. Marletta, A. Valastro, "A Haptic Solution to Assist Visually Impaired in Mobility Tasks", IEEE Transactions on Human-Machine Systems, vol.45, no.5, pp.641-646, 2015.

Cites in Papers - Other Publishers (9)

1.
Shripad Bhatlawande, Swati Shilaskar, Anant Abhyankar, Mahesh Ahire, Ankush Chadgal, Jyoti Madake, "Detection of Exercise and Cooking Scene for Assitance of Visually Impaired People", Pervasive Computing and Social Networking, vol.475, pp.493, 2023.
2.
Jakob Kilian, Alexander Neugebauer, Lasse Scherffig, Siegfried Wahl, "The Unfolding Space Glove: A Wearable Spatio-Visual to Haptic Sensory Substitution Device for Blind People", Sensors, vol.22, no.5, pp.1859, 2022.
3.
Harsimran Singh, Sang-Goo Jeong, Syed Zain, Jee-Hwan Ryu, Digital Image Forensics, vol.755, pp.216, 2019.
4.
Francesca Sorgini, Renato Caliò, Maria Chiara Carrozza, Calogero Maria Oddo, "Haptic-assistive technologies for audition and vision sensory disabilities", Disability and Rehabilitation: Assistive Technology, vol.13, no.4, pp.394, 2018.
5.
Bruno Andò, Salvatore Baglio, Vincenzo Marletta, Angelo Valastro, Ambient Assisted Living, vol.426, pp.141, 2017.
6.
Hiroyuki Kajimoto, Masaki Suzuki, Yonezo Kanno, "HamsaTouch", CHI '14 Extended Abstracts on Human Factors in Computing Systems, pp.571, 2014.
7.
Hiroyuki Kajimoto, Masaki Suzuki, Yonezo Kanno, "HamsaTouch", CHI '14 Extended Abstracts on Human Factors in Computing Systems, pp.1273, 2014.
8.
Georgios Korres, Ahmad El Issawi, Mohamad Eid, Universal Access in Human-Computer Interaction. Aging and Assistive Environments, vol.8515, pp.741, 2014.
9.
Rabia Jafri, Syed Abid Ali, Hamid R. Arabnia, Shameem Fatima, "Computer vision-based object recognition for the visually impaired in an indoors environment: a survey", The Visual Computer, vol.30, no.11, pp.1197, 2014.
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